sac
There are 215 repositories under sac topic.
thu-ml/tianshou
An elegant PyTorch deep reinforcement learning library.
sweetice/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
AI4Finance-Foundation/ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
seungeunrho/minimalRL
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
kengz/SLM-Lab
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
XinJingHao/Deep-Reinforcement-Learning-Algorithms-with-Pytorch
Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
MushroomRL/mushroom-rl
Python library for Reinforcement Learning.
TianhongDai/reinforcement-learning-algorithms
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
cpnota/autonomous-learning-library
A PyTorch library for building deep reinforcement learning agents.
Rafael1s/Deep-Reinforcement-Learning-Algorithms
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
ikostrikov/jaxrl
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
marload/DeepRL-TensorFlow2
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
MishaLaskin/curl
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
dongminlee94/deep_rl
PyTorch implementation of deep reinforcement learning algorithms
denisyarats/pytorch_sac
PyTorch implementation of Soft Actor-Critic (SAC)
StepNeverStop/RLs
Reinforcement Learning Algorithms Based on PyTorch
MishaLaskin/rad
RAD: Reinforcement Learning with Augmented Data
denisyarats/drq
DrQ: Data regularized Q
iffiX/machin
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
zuoxingdong/lagom
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
sudharsan13296/Deep-Reinforcement-Learning-With-Python
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
cyoon1729/RLcycle
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
anita-hu/TF2-RL
Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
araffin/learning-to-drive-in-5-minutes
Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
twni2016/pomdp-baselines
Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
BY571/Soft-Actor-Critic-and-Extensions
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
RchalYang/torchrl
Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
zhaohaojie1998/DRL-for-Path-Planning
深度强化学习路径规划, SAC-Auto路径规划, Soft Actor-Critic算法, SAC-pytorch，激光雷达Lidar避障，激光雷达仿真模拟，Adaptive-SAC
liuzuxin/FSRL
🚀 A fast safe reinforcement learning library in PyTorch
AgentMaker/Paddle-RLBooks
Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
pokaxpoka/sunrise
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
BY571/CQL
PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.
ChenDRAG/mujoco-benchmark
Provide full reinforcement learning benchmark on mujoco environments, including ddpg, sac, td3, pg, a2c, ppo, library
deepanshut041/Reinforcement-Learning
Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch
evgenii-nikishin/rl_with_resets
JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
jakegrigsby/deep_control
Deep Reinforcement Learning for Continuous Control in PyTorch